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04/09/2023
Reweighted Mixup for Subpopulation Shift
Subpopulation shift exists widely in many real-world applications, which...
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01/27/2023
Single-Trajectory Distributionally Robust Reinforcement Learning
As a framework for sequential decision-making, Reinforcement Learning (R...
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10/20/2022
Vertical Federated Linear Contextual Bandits
In this paper, we investigate a novel problem of building contextual ban...
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09/19/2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup
Subpopulation shift wildly exists in many real-world machine learning ap...
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09/14/2022
Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation
Among the reasons hindering reinforcement learning (RL) applications to ...
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06/16/2022
On Private Online Convex Optimization: Optimal Algorithms in ℓ_p-Geometry and High Dimensional Contextual Bandits
Differentially private (DP) stochastic convex optimization (SCO) is ubiq...
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04/16/2022
DRFLM: Distributionally Robust Federated Learning with Inter-client Noise via Local Mixup
Recently, federated learning has emerged as a promising approach for tra...
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06/07/2021
Generalized Linear Bandits with Local Differential Privacy
Contextual bandit algorithms are useful in personalized online decision-...
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08/29/2018
